Results 21 to 30 of about 372,511 (339)
Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation [PDF]
Web Search and Data Mining, 2023 Benefiting from transformer-based pre-trained language models, neural ranking models have made significant progress. More recently, the advent of multilingual pre-trained language models provides great support for designing neural cross-lingual retrieval
Zhiqi Huang
semanticscholar +1 more source
NevIR: Negation in Neural Information Retrieval [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2023 Negation is a common everyday phenomena and has been a consistent area of weakness for language models (LMs). Although the Information Retrieval (IR) community has adopted LMs as the backbone of modern IR architectures, there has been little to no ...
Orion Weller +2 more
semanticscholar +1 more source
Cross-Modal Retrieval by Class Information and Listwise Ranking
Jisuanji kexue yu tansuo, 2021 Cross-modal retrieval has attracted significant attention due to the increasing use of multi-modal data. A major challenge for cross-modal retrieval is the modal gap. To cope with the heterogeneity, common subspace learning method is proposed.
LIU Yuping, GE Hong, ZENG Yibin
doaj +1 more source
Evaluating Embedding APIs for Information Retrieval [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 The ever-increasing size of language models curtails their widespread access to the community, thereby galvanizing many companies and startups into offering access to large language models through APIs.
Ehsan Kamalloo +6 more
semanticscholar +1 more source
Document Retrieval for Precision Medicine Using a Deep Learning Ensemble Method
JMIR Medical Informatics, 2021 BackgroundWith the development of biomedicine, the number of biomedical documents has increased rapidly bringing a great challenge for researchers trying to retrieve the information they need.
Zhiqiang Liu +3 more
doaj +1 more source
CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval [PDF]
European Conference on Information Retrieval, 2023 Conversational search is a difficult task as it aims at retrieving documents based not only on the current user query but also on the full conversation history.
Nam Le Hai +5 more
semanticscholar +1 more source
A Review on Recent Arabic Information Retrieval Techniques
EAI Endorsed Transactions on Internet of Things, 2022 Information retrieval is an important field that aims to provide a relevant document to a user information need, expressed through a query. Arabic is a challenging language that gained much attention recently in the information retrieval domain.
Abdelkrim AARAB +2 more
doaj +1 more source
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval [PDF]
IEEE transactions on multimedia, 2023 Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at effectively and thoroughly searching images with similar content or the same identity.
Yuqi Zhang +5 more
semanticscholar +1 more source
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking [PDF]
Conference on Empirical Methods in Natural Language Processing, 2021 In various natural language processing tasks, passage retrieval and passage re-ranking are two key procedures in finding and ranking relevant information.
Ruiyang Ren +7 more
semanticscholar +1 more source
Ranking-Based Deep Hashing Network for Image Retrieval
IEEE Access, 2022 In large-scale image retrieval, the deep learning-based hashing methods have significantly progressed. However, most of the existing deep hashing methods still have the problems of low feature learning efficiency and weak ranking relationship ...
Zhisheng Zhang +5 more
doaj +1 more source